cuda arrayenhancementgood first issue
仓库指标
- Star
- (1,408 star)
- PR 合并指标
- (平均合并 5天 5小时) (30 天内合并 16 个 PR)
描述
gg = CUDA.rand(2,2)
# errors with
[gg;; gg]
Scalar indexing is disallowed.
Invocation of getindex resulted in scalar indexing of a GPU array.
This is typically caused by calling an iterating implementation of a method.
Such implementations *do not* execute on the GPU, but very slowly on the CPU,
and therefore are only permitted from the REPL for prototyping purposes.
If you did intend to index this array, annotate the caller with @allowscalar.
error(::String)@error.jl:35
assertscalar(::String)@GPUArraysCore.jl:103
getindex(::CUDA.CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}, ::Int64)@indexing.jl:9
_typed_hvncat(::Type{Float32}, ::Val{2}, ::CUDA.CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}, ::CUDA.CuArray{Float32, 2, CUDA.Mem.DeviceBuffer})@abstractarray.jl:2259
_typed_hvncat(::Type, ::Int64, ::Bool, ::CUDA.CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}, ::Vararg{CUDA.CuArray{Float32, 2, CUDA.Mem.DeviceBuffer}})@abstractarray.jl:2215
_hvncat@abstractarray.jl:2196[inlined]
hvncat@abstractarray.jl:2189[inlined]
top-level scope@[Local: 1](http://localhost:1234/edit?id=77e8e67e-c8bb-11ed-06aa-479b71d48037#)[inlined]
# works
[gg; gg]
CUDA runtime 11.8, artifact installation CUDA driver 12.0 NVIDIA driver 525.85.5
Libraries:
- CUBLAS: 11.11.3
- CURAND: 10.3.0
- CUFFT: 10.9.0
- CUSOLVER: 11.4.1
- CUSPARSE: 11.7.5
- CUPTI: 18.0.0
- NVML: 12.0.0+525.85.5
Toolchain:
- Julia: 1.8.5
- LLVM: 13.0.1
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0, 7.1, 7.2
- Device capability support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80, sm_86
1 device: 0: NVIDIA GeForce RTX 3060 (sm_86, 6.252 GiB / 12.000 GiB available)
❔
Julia Version 1.8.5 Commit 17cfb8e65ea (2023-01-08 06:45 UTC) Platform Info: OS: Linux (x86_64-linux-gnu) CPU: 24 × AMD Ryzen 9 5900X 12-Core Processor WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-13.0.1 (ORCJIT, znver3) Threads: 12 on 24 virtual cores Environment: JULIA_NUM_THREADS = 12 JULIA_REVISE_WORKER_ONLY = 1